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Automatic identification systems

Language of instruction angličtina, čeština
Code 545-0015
Abbreviation Auto-ID
Course title Automatic identification systems
Coordinating department Department of Economics and Control Systems
Course coordinator doc. Ing. Pavel Staša, Ph.D.

Summary

The course provides an overview of automatic identification technologies and their practical applications in industry, logistics, and other fields. Students will become familiar with the principles of barcodes, RFID, NFC, and biometric systems and understand their role in modern information and industrial systems.

Attention is given to data collection and processing, security aspects of identification systems, standards, and communication protocols. Students will gain a basic understanding of the possibilities for integrating automatic identification technologies into industrial processes, Internet of Things (IoT) systems, and Real-Time Location Systems (RTLS). The course also introduces current trends and future developments in the field of automatic identification technologies.

Professional Knowledge
Upon successful completion of the course, the student will be able to:
- explain the principles of fundamental automatic identification technologies;
- describe the characteristics of barcode, RFID, NFC, and biometric systems;
- characterize standards and communication protocols used in automatic identification systems;
- explain the principles of data collection, transmission, and processing in identification systems;
- describe the applications of automatic identification technologies in logistics, industry, and IoT environments.

Professional Skills
Upon successful completion of the course, the student will be able to:
- distinguish between different automatic identification technologies;
- compare their advantages and limitations for selected applications;
- interpret basic data obtained from identification systems;
- assess the suitability of a selected identification technology for a specific application;
- demonstrate awareness of basic data security and privacy protection requirements.

General Competencies
Upon successful completion of the course, the student will be able to:
- orient themselves in contemporary automatic identification technologies;
- search for and interpret professional information related to automatic identification;
- understand the relationship between identification technologies and the digitalization of industrial processes;
- follow current trends and future developments in the field of automatic identification.

Literature

HUNT, V. Daniel; PUGLIA, Albert a PUGLIA, Mike. RFID: a guide to radio frequency identification. Hoboken: Wiley-Interscience, c2007. ISBN 978-0-470-10764-5 .
BENEŠ, Filip. Localization of objects with RFID technology: monograph. Ed. 1st. Košice: Technická univerzita v Košiciach, 2014. ISBN 978-80-553-1759-5.
LAHEURTE, Jean-Marc; RIPOLL, Christian; PARET, Dominique a LOUSSERT, Christophe. UHF RFID technologies for identification and traceability. Focus series. London: ISTE, 2014. ISBN 978-1-84821-592-4.
GREENGARD, Samuel. The internet of things. Cambridge, USA: MIT Press, 2021. ISBN 9780262542623 .

Doporučená literatura

DOBKIN, Daniel Mark. The RF in RFID: passive UHF RFID in practice. Burlington: Newnes, c2008. ISBN 978-0-7506-8209-1 .
IGOE, Tom; COLEMAN, Don a JEPSON, Brian. Beginning NFC: near field communication with Arduino, Android, and Phonegap. Beijing: O'Reilly, 2014. ISBN 978-1-4493-7206-4 .
RFID systems: research trends and challenges. Online. [Hoboken]: Wiley, 2010. ISBN 978-0-470-66525-1 . Dostupné z: http://onlinelibrary.wiley.com/book/10.1002/9780470665251. [cit. 2024-11-21].
RFID applied. Online. [Hoboken]: Wiley, 2007. ISBN 978-0-470-16822-6 . Dostupné z: http://onlinelibrary.wiley.com/book/10.1002/9780470168226. [cit. 2024-11-21].